An AI underwriting MVP, from idea to investor demo in 12 weeks
A non-technical founding team needed a product squad. A Sprint Pod became it, and shipped a GenAI underwriting assistant in 12 weeks.
Torno was more than an engineering partner. They were my product team from day one.AmanCo-founder, Cadastral AI
- Industry
- Insurtech, underwriting automation
- Client stage
- Early-stage, pre-product
- Engagement
- 12 weeks
- Pod
- Pod Lead, 2 backend, 2 frontend, 1 QA
- Services
- AI Product Engineering
Cadastral set out to build a GenAI underwriting assistant that helps insurers make faster, data-informed risk decisions.
- No internal tech team, and no time to hire
- Proprietary risk data to ingest and apply AI to
- 12 weeks to a demo-ready MVP
- A UI that showed intelligence, not just a form
What the Pod delivered.
Risk scoring
Automated risk scoring powered by Cadastral’s proprietary data.
GenAI assistant
Underwriters ask risk questions in plain language and get grounded answers.
Admin dashboard
Ingestion status and scoring overrides.
Secure access
Role-based permissions and investor demo log-ins.
The path, step by step.
- Week 1Discovery, technical scope, API prototypes
- Weeks 2–4Core LLM features and the risk scoring engine
- Weeks 5–8Admin dashboard, ingestion pipeline, demo UI
- Weeks 9–12Polish, regression testing, pitch preparation
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Want results like these?
Tell us what you need built, modernized or made smarter.
- 1A 30-minute callWe learn what you need and where it hurts.
- 2A clear planScope, team and the first two sprints.
- 3Work in daysA Pod starts, and ships every two weeks.